object Interpolate extends Imputation

The Interpolate object imputes the missing value in the vector using Linear Interpolation based on the previous and next values.

Linear Supertypes
Imputation, AnyRef, Any
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  1. final def !=(arg0: Any): Boolean
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    AnyRef → Any
  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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    @native() @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean
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  7. def equals(arg0: Any): Boolean
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  8. def finalize(): Unit
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  9. final def getClass(): Class[_]
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    @native()
  10. def hashCode(): Int
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    @native()
  11. def impute(c: Vec, args: Int*): Any

    Impute a value for a missing value in column/vector 'c' using Linear Interpolation based on the previous and next values.

    Impute a value for a missing value in column/vector 'c' using Linear Interpolation based on the previous and next values.

    c

    the column/vector with missing values

    args

    an optional paramter which takes variable no. of numeric values, args(0) - index at which missing value needs to be imputed args(1) - no. of values around index 'i' to consider for interpolation

    Definition Classes
    Interpolate → Imputation
  12. final def isInstanceOf[T0]: Boolean
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    Any
  13. final def ne(arg0: AnyRef): Boolean
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  14. final def notify(): Unit
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  15. final def notifyAll(): Unit
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  16. final def synchronized[T0](arg0: ⇒ T0): T0
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  17. def toString(): String
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  18. final def wait(): Unit
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  19. final def wait(arg0: Long, arg1: Int): Unit
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  20. final def wait(arg0: Long): Unit
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Inherited from Imputation

Inherited from AnyRef

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